AI Platform Engineer

Davidson Management Consultants have been mandated to recruit AI Platform Engineers for a client in Riyadh, Saudi Arabia. We are looking for experienced engineers with approximately 5 to 8 years of relevant experience across cloud engineering, DevOps, MLOps, Machine Learning infrastructure or production AI platforms. Candidates should possess strong practical expertise with Kubernetes, Docker, CI/CD, Infrastructure as Code, model serving, monitoring and cloud platforms such as AWS, Azure or GCP, together with exposure to MLflow, Kubeflow or comparable Machine Learning lifecycle technologies. The AI Platform Engineer will build and maintain the underlying infrastructure that enables AI Engineers, Data Scientists and Machine Learning teams to develop, train, deploy and operate models reliably at enterprise scale. Design standardized development and production environments and automate workflows covering experimentation, training, model registration, testing, deployment, rollback, monitoring and retraining. Build scalable containerized infrastructure for Machine Learning and Generative AI workloads and support GPU-based training and inference environments where required. Implement model-serving platforms, observability, resource monitoring and automated alerting while tracking infrastructure utilization, latency, failures, model performance and operational costs. Work closely with Cloud, DevOps, Cybersecurity, Data Engineering and AI teams to ensure platforms meet enterprise requirements for security, resilience, scalability and access control. Optimize GPU and cloud consumption, introduce reusable deployment patterns and continuously improve developer experience so AI teams can move solutions from experimentation into production efficiently. Experience with NVIDIA GPU infrastructure, CUDA, Terraform, MLflow, Kubeflow, Prometheus, Grafana and large-scale LLM serving would be highly advantageous.

Salary : SAR 30,000 to 42,000 per month plus family benefits (Salary mentioned in the advertisement is indicative.The final offer lies at the discretion of the client and will be made post completion of interviews).